Welcome to the Capstone Project for Big Data! In this culminating project, you will build a big data ecosystem using tools and methods form the earlier courses in this specialization. You will analyze a data set simulating big data generated from a large number of users who are playing our imaginary game "Catch the Pink Flamingo". During the five week Capstone Project, you will walk through the typical big data science steps for acquiring, exploring, preparing, analyzing, and reporting. In the first two weeks, we will introduce you to the data set and guide you through some exploratory analysis using tools such as Splunk and Open Office. Then we will move into more challenging big data problems requiring the more advanced tools you have learned including KNIME, Spark's MLLib and Gephi. Finally, during the fifth and final week, we will show you how to bring it all together to create engaging and compelling reports and slide presentations. As a result of our collaboration with Splunk, a software company focus on analyzing machine-generated big data, learners with the top projects will be eligible to present to Splunk and meet Splunk recruiters and engineering leadership.
Ce cours fait partie de la Spécialisation Big Data
Offert par
Spécialisation Big DataUniversité de Californie à San DiegoÀ propos de ce cours
Compétences que vous acquerrez
- Big Data
- Neo4j
- Knime
- Splunk
Offert par
Université de Californie à San Diego
UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory.
Programme de cours : ce que vous apprendrez dans ce cours
Simulating Big Data for an Online Game
This week we provide an overview of the Eglence, Inc. Pink Flamingo game, including various aspects of the data which the company has access to about the game and users and what we might be interested in finding out.
Acquiring, Exploring, and Preparing the Data
Next, we begin working with the simulated game data by exploring and preparing the data for ingestion into big data analytics applications.
Data Classification with KNIME
This week we do some data classification using KNIME.
Clustering with Spark
This week we do some clustering with Spark.
Graph Analytics of Simulated Chat Data With Neo4j
This week we apply what we learned from the 'Graph Analytics With Big Data' course to simulated chat data from Catch the Pink Flamingos using Neo4j. We analyze player chat behavior to find ways of improving the game.
Avis
- 5 stars66,06 %
- 4 stars21,85 %
- 3 stars5,91 %
- 2 stars1,79 %
- 1 star4,37 %
Meilleurs avis pour BIG DATA - CAPSTONE PROJECT
This has been excellent Learning experience.Instructor and fellow members shared their valuable information during the course of the Learning and Capstone Project phase.
I learned a lot about applying the big data knowledge gained in the previous courses. Thank you!
Thank you Coursera and instructors for creating this course. The structure is very good. Looking forward for completing other specializations too. Thank you!!
The project is really helpful to sum up the whole process of the 5 previous courses, but there is a bit problem with the week 4 assignment.
À propos du Spécialisation Big Data
Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions.
Foire Aux Questions
Quand aurai-je accès aux vidéos de cours et aux devoirs ?
À quoi ai-je droit si je m'abonne à cette Spécialisation ?
Une aide financière est-elle possible ?
D'autres questions ? Visitez le Centre d'Aide pour les Étudiants.
